Did a clean install (i.e. without installing Snow Leopard first) of Mac OS X Lion on a friend's MacBook Pro tonight. Kind of disappointed that the installer didn't recognize the blank disk and ask to partition it. Yes the partitioning utility is there and it was easy, but an unnecessary step was needed before the install could begin. I guess Apple is banking on their users not actually doing an install on a blank disk.
Orrin Edenfield
Results driven, business technology.
When the latest technology is applied to proven business methods good things happen. I like to make technology work for business.
"The saying is trustworthy and deserving of full acceptance, that Christ Jesus came into the world to save sinners, of whom I am the foremost. But I received mercy for this reason, that in me, as the foremost, Jesus Christ might display his perfect patience as an example to those who were to believe in him for eternal life. To the King of ages, immortal, invisible, the only God, be honor and glory forever and ever. Amen." - 1 Timothy 1:15-17
TwitterLinkedInBig Data Requires a Big, New Architecture - CIO Central - CIO Network - Forbes
The problem is that, in the world of big data, we don’t really know what value the data has when it’s initially accepted from the array of sources available to us.
via blogs.forbes.com
For instance unstructured data by itself many times takes on a whole new level of value to an organization when it is analyzed in context with transaction-based data.
RecordBreaker: Automatic structure for your text-formatted data | Apache Hadoop for the Enterprise | Cloudera
RecordBreaker is a project that automatically turns your text-formatted data (logs, sensor readings, etc) into structured data, without any need to write parsers or extractors. In particular, RecordBreaker targets Avro as its output format. The project’s goal is to dramatically reduce the time spent preparing data for analysis, enabling more time for the analysis itself.
Hadoop’s HDFS is often used to store large amounts of text-formatted data: log files, sensor readings, transaction histories, etc. Much of this data is “near-structured”: the data has a format that’s obvious to a human observer, but is not made explicit in the file itself.
via cloudera.com
This looks like is would have potential in identifying and cataloging data files inside Hadoop.
Big Data – Same Problems? by Chris Bradley
Chart of Data Quality Maturity Levels for Big Data Analytics by Chris Bradley.
